IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v125y2020i2d10.1007_s11192-020-03594-3.html
   My bibliography  Save this article

Communication value of English-language S&T academic journals in non-native English language countries

Author

Listed:
  • Zhenglu Yu

    (Institute of Scientific and Technical Information of China)

  • Zheng Ma

    (Institute of Scientific and Technical Information of China)

  • Haiyan Wang

    (Institute of Scientific and Technical Information of China)

  • Jia Jia

    (Institute of Scientific and Technical Information of China)

  • Lu Wang

    (Institute of Scientific and Technical Information of China)

Abstract

Researchers tend to publish their articles in English in order to get more citations and influence, even in the non-native English language countries. Founding S&T academic journals in English has become the choices of most publishers. In this article, we apply the method from linguistic studies which is used to measure the communication value of languages to measure the communication value of English-language journals published in non-native English countries and compare it with native-language journals. An indicator Q-value is designed to evaluate academic journals, which is comprised of three independent indicators: prevalence index, centrality index and international diffusivity index, which form a three-dimensional coordinate system and each journal is defined as a vector and the Q-value is the length of the vector. A total of 180 S&T academic journals are studied. The result shows that the Q-value can correctly reflect the communication value of English-language S&T academic journal in non-native English language countries and top native language journals can also have high communication value.

Suggested Citation

  • Zhenglu Yu & Zheng Ma & Haiyan Wang & Jia Jia & Lu Wang, 2020. "Communication value of English-language S&T academic journals in non-native English language countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1389-1402, November.
    • Handle: RePEc:spr:scient:v:125:y:2020:i:2:d:10.1007_s11192-020-03594-3
    DOI: 10.1007/s11192-020-03594-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-020-03594-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-020-03594-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shuhua Wang & Hengjun Wang & Paul R. Weldon, 2007. "Bibliometric analysis of English-language academic journals of China and their internationalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(3), pages 331-343, December.
    2. Michel Zitt & François Perrot & Rémi Barré, 1998. "The transition from “national” to “transnational” model and related measures of countries' performance," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(1), pages 30-42.
    3. Philippe Mongeon & Adèle Paul-Hus, 2016. "The journal coverage of Web of Science and Scopus: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 213-228, January.
    4. Éric Archambault & Étienne Vignola-Gagné & Grégoire Côté & Vincent Larivière & Yves Gingrasb, 2006. "Benchmarking scientific output in the social sciences and humanities: The limits of existing databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 329-342, September.
    5. Olga Solovova & Joana Vieira Santos & Joaquim Veríssimo, 2018. "Publish in English or Perish in Portuguese: Struggles and Constraints on the Semiperiphery," Publications, MDPI, vol. 6(2), pages 1-14, June.
    6. Miranda Lee Pao, 1982. "Collaboration in computational musicology," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 33(1), pages 38-43, January.
    7. Liming Liang & Ronald Rousseau & Zhen Zhong, 2013. "Non-English journals and papers in physics and chemistry: bias in citations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 333-350, April.
    8. Olga Moskaleva & Vladimir Pislyakov & Ivan Sterligov & Mark Akoev & Svetlana Shabanova, 2018. "Russian Index of Science Citation: Overview and review," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 449-462, July.
    9. Fang Liu & Guangyuan Hu & Li Tang & Weishu Liu, 2018. "The penalty of containing more non-English articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 359-366, January.
    10. Anthony F. J. Raan & Thed N. Leeuwen & Martijn S. Visser, 2011. "Severe language effect in university rankings: particularly Germany and France are wronged in citation-based rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 495-498, August.
    11. Gregorio González-Alcaide & Juan Carlos Valderrama-Zurián & Rafael Aleixandre-Benavent, 2012. "The Impact Factor in non-English-speaking countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 297-311, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tret'yakova, O., 2021. "Russian economic studies in the Web of Science: Bibliometric assessment," Journal of the New Economic Association, New Economic Association, vol. 50(2), pages 199-205.
    2. Chang, Yu-Wei, 2022. "Capability of non-English-speaking countries for securing a foothold in international journal publishing," Journal of Informetrics, Elsevier, vol. 16(3).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chang, Yu-Wei, 2022. "Capability of non-English-speaking countries for securing a foothold in international journal publishing," Journal of Informetrics, Elsevier, vol. 16(3).
    2. Weishu Liu & Li Tang & Guangyuan Hu, 2020. "Funding information in Web of Science: an updated overview," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1509-1524, March.
    3. Claudia N. Gonzalez Brambila & Renata Herrerias, 2024. "Assessing the impact of collaborative authorship in Business Economics in Latin America," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4623-4660, July.
    4. Fang Liu & Guangyuan Hu & Li Tang & Weishu Liu, 2018. "The penalty of containing more non-English articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 359-366, January.
    5. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    6. Vanessa Sandoval-Romero & Vincent Larivière, 2020. "The national system of researchers in Mexico: implications of publication incentives for researchers in social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 99-126, January.
    7. Yves Gingras & Mahdi Khelfaoui, 2018. "Assessing the effect of the United States’ “citation advantage” on other countries’ scientific impact as measured in the Web of Science (WoS) database," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 517-532, February.
    8. Myriam Dunn Cavelty, 2018. "Cybersecurity Research Meets Science and Technology Studies," Politics and Governance, Cogitatio Press, vol. 6(2), pages 22-30.
    9. Maria Cláudia Cabrini Grácio & Ely Francina Tannuri Oliveira & Zaida Chinchilla-Rodríguez & Henk F. Moed, 2020. "Does corresponding authorship influence scientific impact in collaboration: Brazilian institutions as a case of study," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1349-1369, November.
    10. Antoine Archambault & Philippe Mongeon & Vincent Larivière, 2017. "On the effects of the reunification on German researchers’ publication patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 337-347, April.
    11. Andreea Mironescu & Alina Moroșanu & Anca-Diana Bibiri, 2023. "The regional dynamics of multilingual publishing in web of science: A statistical analysis of central and eastern european journals and researchers in linguistics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1133-1162, February.
    12. Jiale Yang & Qing Wu & Chuanyi Wang, 2022. "Research networks and the initial placement of PhD holders in academia: evidence from social science fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3253-3278, June.
    13. Antonio Cavacini, 2015. "What is the best database for computer science journal articles?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2059-2071, March.
    14. Keshra Sangwal, 2013. "Some citation-related characteristics of scientific journals published in individual countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 719-741, December.
    15. Amit Kumar Singh & Yifang Zhang & Anu, 2023. "Understanding the Evolution of Environment, Social and Governance Research: Novel Implications From Bibliometric and Network Analysis," Evaluation Review, , vol. 47(2), pages 350-386, April.
    16. Mahdi Khelfaoui & Julien Larrègue & Vincent Larivière & Yves Gingras, 2020. "Measuring national self-referencing patterns of major science producers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 979-996, May.
    17. Matthew Harsh & Ravtosh Bal & Alex Weryha & Justin Whatley & Charles C. Onu & Lisa M. Negro, 2021. "Mapping computer science research in Africa: using academic networking sites for assessing research activity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 305-334, January.
    18. Elmira Janavi & Mohammad Javad Mansourzadeh & Mojgan Samandar Ali Eshtehardi, 2020. "A methodology for developing scientific diversification strategy of countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2229-2264, December.
    19. Saïd Echchakoui, 2020. "Why and how to merge Scopus and Web of Science during bibliometric analysis: the case of sales force literature from 1912 to 2019," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(3), pages 165-184, September.
    20. Saïd Echchakoui, 0. "Why and how to merge Scopus and Web of Science during bibliometric analysis: the case of sales force literature from 1912 to 2019," Journal of Marketing Analytics, Palgrave Macmillan, vol. 0, pages 1-20.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:125:y:2020:i:2:d:10.1007_s11192-020-03594-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.